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  • 必看:玩转星瞳论坛了解一下图片上传,代码格式等问题。
  • 一个提问,一个帖子,标题为问题的介绍
  • 请贴出具体的代码,与报错提示。
  • 代码一定要让别人可以运行的文本,不要贴图片
  • 粘贴上了找的测距的代码,貌似出了点问题,请教各位大神该怎么处理



    • 0_1538037410946_微信图片_20180927163546.png

      # Measure the distance
      #
      # This example shows off how to measure the distance through the size in imgage
      # This example in particular looks for yellow pingpong ball.
      
      import sensor, image, time
      
      # For color tracking to work really well you should ideally be in a very, very,
      # very, controlled enviroment where the lighting is constant...
      yellow_threshold   = ( 56,   83,    5,   57,   63,   80)
      # You may need to tweak the above settings for tracking green things...
      # Select an area in the Framebuffer to copy the color settings.
      
      sensor.reset() # Initialize the camera sensor.
      sensor.set_pixformat(sensor.RGB565) # use RGB565.
      sensor.set_framesize(sensor.QQVGA) # use QQVGA for speed.
      sensor.skip_frames(10) # Let new settings take affect.
      sensor.set_auto_whitebal(False) # turn this off.
      clock = time.clock() # Tracks FPS.
      
      K=5000#the value should be measured
      
      while(True):
          clock.tick() # Track elapsed milliseconds between snapshots().
          img = sensor.snapshot() # Take a picture and return the image.
      
          blobs = img.find_blobs([yellow_threshold])
          if len(blobs) == 1:
              # Draw a rect around the blob.
              b = blobs[0]
              img.draw_rectangle(b[0:4]) # rect
              img.draw_cross(b[5], b[6]) # cx, cy
              Lm = (b[2]+b[3])/2
              length = K/Lm
              print(length)
      
          #print(clock.fps()) # Note: Your OpenMV Cam runs about half as fast while
          # connected to your computer. The FPS should increase once disconnected.
      
      


    • 什么问题?😀



    • 我没找到运行结果,应该在哪里看结果,或者说是运行在25行中断了?



    • 代码里默认是先颜色识别获取目标物体像素,你得先调整颜色阈值



    • 谢谢你,但是我还是对这些不太懂。我在工具-机器视觉-阈值编辑器里调整了黑白颜色,然后还是不知道该怎么做。



    • 你看一下视频10,
      https://singtown.com/video/